| Course Name | Wavelet-based Signal Processing and Application |
| Course Code | 15ECE334 |
| Program | B. Tech. in Electronics and Communication Engineering |
| Year Taught | 2019 |
Review of mathematical preliminaries: Vector – Function space – Basis function – Review of fourier theory and properties of fourier transform – Short time fourier transform – Heisenberg’s uncertainty principle – Continuous wavelet transform – CWT and its Properties – DWT – Time-frequency tiling
Discrete Wavelet Transform – Haar scaling function – Nested spaces – Wavelet function. Designing orthogonal wavelet systems: Daubechies – Coiflet – Symlet wavelet system coefficients – Signal decomposition using DWT – Relation to filter banks and frequency response – Signal reconstruction using DWT – M band wavelets.
Introduction to bi-orthogonal wavelets – Introduction to lifting scheme- Applications of wavelet transform: Image processing – Image compression – De-noising – audio coding – channel coding.
DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.
